Building High-Performance Data Science Teams

Embed from Getty Images | Taxi | Kelvin Murray Analytics has become a top priority for many organizations looking to wring business benefits out of the data (structured, unstructured and semi-structured). Moreover, big data is still relatively new with many organizations, and its significance in business processes and outcome has been changing every day. Most people consider business intelligence capabilities as an important starting point, thinking about structured data analysis and reporting. But considering advanced analytics, unstructured data, huge amounts of data and predictive models, business organizations should obtain much more knowledge – from massive parallel processing (MPP), cloud computing, social media data gathering and analysis to advanced statistics modeling, Hadoop framework skills and agile software development skills. In the U.S., the hiring scale is 73 for jobs that require…


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